Job Title / Role: Snowflake Service Lead

Years of Experience Required (Min-Max) 6 -10 years

Highest Qualification Required BTech or Master's [Any Graduate]

Work Location Hyderabad

Mode of Work: Hybrid -3 days to Office

Notice Period/ Start Date Flexibility 0-15 days

Office Time 12 PM to 9 PM

Must/Good to Have Details

Must have

You are a senior data engineer at heart who also loves the operational side of the job: the triage, the prioritization, the calm under pressure decision making that keeps a support function running well.

- Robust hands-on data engineering experience: with Snowflake, plus at least one of dbt, Airbyte, Airflow (or a similar orchestration tool), or

Terraform. You can pick up a live issue and actually fix it.
- Comfortable with dimensional modelling: familiarity with Kimball style Facts and Dimensions is a real plus, since a good chunk of what you

will support sits in that layer.
- Support or service desk background: you have worked in a production support, managed service, or service desk environment before, and

you understand how incidents, service requests, and SLAs fit together.
- A natural sense of priority: you can look at a pile of tickets and quickly work out what actually matters, even with incomplete information.
- People leadership, or the readiness for it: you have either managed a small team before, or you are clearly ready to, coaching, running 1:

1s, and helping others grow.
- Clear communicator:



you can translate what is happening technically into something a non-technical manager or client can understand.
- Jira / JSM experience: or equivalent ticketing tool experience.

Good to have

- Experience supporting a Snowflake platform specifically, rather than a generic data stack.
- Exposure to data contracts or data quality SLA frameworks.
- Experience setting up or improving a support/service desk function from scratch.
- Familiarity with data lineage/catalog tools such as DataHub.

Roles & Responsibilities

- Triage everything: review and prioritise every incoming ticket, judging urgency and impact, and deciding who is best placed to work it, you or

your team.
- Get hands-on: personally resolve the trickiest and most time critical issues across the Snowflake, dbt, Airbyte, Airflow and Terraform stack.
- Build and lead your team: line manage a group of junior data engineers, coaching them, developing their skills, and growing their ability to

handle more on their own over time.
- Own the SLA: keep your team on track against response and resolution targets, step in early when something is at risk, and manage

escalations calmly when they happen.
- Report on performance: give clear, regular visibility to management on how the service desk is performing, what is going well, what is not, and

what needs to change.
- Shape the way we work: help refine our ticketing process, our tooling, and the way we communicate with

📌 Snowflake Service lead (Hyderabad)
🏢 Talent Skeet
📍 Hyderabad